├── .gitignore ├── 1.jpg ├── README.md └── src ├── ch1 ├── Linear Regression.ipynb └── README.md ├── ch2 ├── Hello MNIST.ipynb ├── README.md ├── mnist_loader.py └── network.py ├── ch3 ├── README.md ├── cifar10.py ├── cifar10_eval.py ├── cifar10_input.py ├── cifar10_main.py ├── cifar10_multi_gpu_train.py ├── cifar10_train.py ├── layers.py ├── resnet_model.py ├── tf-mnist-cnn.py └── tf-mnist.py ├── ch4 ├── 5y6SCvU.png ├── K1qMPxs.png ├── PyTorch-CNN.ipynb ├── README.md ├── char-rnn-classifier.ipynb ├── char-rnn-generator.ipynb ├── decoder-network.png ├── encoder-network.png ├── masked_cross_entropy.py ├── network.png ├── rnn.py ├── seq2seq-translation-batched-cn.ipynb ├── seq2seq-translation.ipynb └── seq2seq.png ├── ch5 └── README.md ├── ch6 ├── README.md ├── basic.ipynb ├── batch-norm.ipynb ├── cnn_mnist.py ├── custom_estimator.py ├── dataset.ipynb ├── iris_data.py ├── lstm-mnist.py ├── premade_estimator.py ├── serving │ ├── __init__.py │ ├── linear_regression_client.py │ ├── linear_regression_dataset_save_model.py │ ├── linear_regression_keras_save_model.py │ ├── linear_regression_save_model.py │ ├── onnx-to-tf.py │ ├── pytorch-to-onnx.py │ ├── pytorch-to-tf.pb │ ├── restore_graph.py │ ├── save_variables.py │ ├── tensor-serving-client-test │ │ ├── pom.xml │ │ ├── src │ │ │ └── main │ │ │ │ ├── java │ │ │ │ └── com │ │ │ │ │ └── easemob │ │ │ │ │ └── ai │ │ │ │ │ └── robotapi │ │ │ │ │ └── tutorial │ │ │ │ │ └── tfserving │ │ │ │ │ └── client │ │ │ │ │ └── test │ │ │ │ │ └── LrClient.java │ │ │ │ └── resources │ │ │ │ └── logback.xml │ │ └── tensorflow-serving-java-client-tf-1.5.0-SNAPSHOT.jar │ └── view_ckpt.py ├── time-series.ipynb └── variable_vs_get_variable.ipynb ├── ch7 ├── README.md ├── autograd_tutorial.ipynb ├── cifar10.png ├── cifar10_tutorial.ipynb ├── data_loading_tutorial.ipynb ├── deep_learning_tutorial.ipynb ├── dynamic_net.ipynb ├── mnist.png ├── neural_networks_tutorial.ipynb ├── tensor_tutorial.ipynb ├── tf_two_layer_net.ipynb ├── transfer_learning_tutorial.ipynb ├── two_layer_net_autograd.ipynb ├── two_layer_net_custom_function.ipynb ├── two_layer_net_module.ipynb ├── two_layer_net_nn.ipynb ├── two_layer_net_numpy.ipynb ├── two_layer_net_optim.ipynb └── two_layer_net_tensor.ipynb └── data ├── eng-chn.txt ├── eng-fra.txt ├── mnist.pkl.gz ├── names ├── Arabic.txt ├── Chinese.txt ├── Czech.txt ├── Dutch.txt ├── English.txt ├── French.txt ├── German.txt ├── Greek.txt ├── Irish.txt ├── Italian.txt ├── Japanese.txt ├── Korean.txt ├── Polish.txt ├── Portuguese.txt ├── Russian.txt ├── Scottish.txt ├── Spanish.txt └── Vietnamese.txt ├── shakespeare.txt ├── t10k-images-idx3-ubyte.gz ├── t10k-labels-idx1-ubyte.gz ├── tiny-shakespeare.txt ├── train-images-idx3-ubyte.gz └── train-labels-idx1-ubyte.gz /.gitignore: -------------------------------------------------------------------------------- 1 | .ipynb_checkpoints 2 | __pycache__ 3 | -------------------------------------------------------------------------------- /1.jpg: 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